Filter design for small target detection on infrared imagery  using normalized-cross-correlation layer

H. Seçkin DEMİR; Erdem AKAGÜNDÜZ

doi:https://doi.org/10.3906/elk-1807-287

Article Details

Filter design for small target detection on infrared imagery using normalized-cross-correlation layer

Authors:

H. Seçkin DEMİR | Erdem AKAGÜNDÜZ

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2020 Vol.28 Issue 1, pp.302-317

Document Type:

Article

Publication Date:

12/2019

Document Language:

English

Document ID (Org No.):

2000733321

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

DOI:

https://doi.org/10.3906/elk-1807-287

Abstract:

 

In this paper, we introduce a machine learning approach to the problem of infrared small target detection   filter design. For this purpose, similar to a convolutional layer of a neural network, the normalized-cross-correlational    NCC  layer, which we utilize for designing a target detection/recognition filter bank, is proposed. By employing the   NCC layer in a neural network structure, we introduce a framework, in which supervised training is used to calculate   the optimal filter shape and the optimum number of filters required for a specific target detection/recognition task on   infrared images. We also propose the mean-absolute-deviation NCC  MAD-NCC  layer, an efficient implementation of   the proposed NCC layer, designed especially for FPGA systems, in which square root operations are avoided for real-time   computation. As a case study we work on dim-target detection on midwave infrared imagery and obtain the filters that   can discriminate a dim target from various types of background clutter, specific to our operational concept.

Article Details

Filter design for small target detection on infrared imagery using normalized-cross-correlation layer

Authors: H. Seçkin DEMİR | Erdem AKAGÜNDÜZ

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2020 Vol.28 Issue 1, pp.302-317

Document Type: Article

Publication Date: 12/2019

Document Language: English

Document ID (Org No.): 2000733321

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

DOI: https://doi.org/10.3906/elk-1807-287

Issues

Authors:

H. Seçkin DEMİR | Erdem AKAGÜNDÜZ

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2020 Vol.28 Issue 1, pp.302-317

Document Type:

Article

Publication Date:

12/2019

Document Language:

English

Document ID (Org No.):

2000733321

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

DOI:

https://doi.org/10.3906/elk-1807-287